Thomas Oberließen (M. Sc)
Work Details
-
TRANSENSE: Transferlernen für KI-Geschäftsmodellinnovationen in digitalisierten, transparenten Verteilnetzen (https://ie3.etit.tu-dortmund.de/research/third-party-projects/distribution-grid-planning-operation/transense/).
- Support of "Prakikum G1: Messtechnik" during summer semester 2021
- Balduin, S.; Veith, E.; Berezin, A.; Lehnhoff, S.; Oberließen, T.; Kittl, C.; Hiry, J.; Rehtanz, C.; Torres-Villarreal, G.; Leksawat, S.; Frankenbach, M., "Towards a Generally Applicable Neural State Estimation through Transfer Learning", 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Espoo, Finland, October 2021
Master theses:
- N. Steffan: "Development and Implementation of an Agent-Based Model to Evaluate Approaches to Efficiently Account for Stochastic Charging Needs of Battery-Electric Vehicles" with Chris Kittl and Johannes Hiry
- S. Peter: "Development and Implementation of a Distributed Scheduling Strategy for a Discrete-Event Distribution Grid Simulation" with Chris Kittl and Johannes Hiry
Bachelor theses:
- V. Zachopoulos: "Konzeptionierung und Implementierung einer Kommunikationsplattform zum Einsatz von SIMONA als ”Simulation as a Service”" with Chris Kittl and Johannes Hiry